Several years ago, a transformation in IT began to take place; a transformation from an IT-centric view of technology to a business-centric view of technology that Forrester refers to as business technology (BT). This transformation has a profound impact on the role of the CIO. The CIO must now view himself or herself as a business enabler. He or she must focus on continuously aligning with business objectives, improving delivery capability to support business processes that bring new products and services to market more quickly, fostering innovation, and reducing costs through improved performance. In this custom Technology Adoption Profile (TAP), the data confirms this trend.

Several years into the app economy, business has changed. Accelerating product cycles and competitive threats now demand continuous planning. Change is constant and managing it is more important than ever. As a result, companies that for years have taken a traditional approach to managing initiatives are moving rapidly to implement agile business practices. And they’re seeing results, in the form of improved quality, faster delivery of value, reduced development costs and increased customer satisfaction.
But this transition also creates new challenges and responsibilities for the project management office (PMO). In fact, the success of the transformation often hinges on the PMO’s ability to expand the underlying concepts of the agile development methodology into a companywide ethos¬—a concept known as business agility.

Today's hyper-connected mobile consumers have high expectations. To compete, you must provide a responsive, superior digital experience. DevOps best practices of Continuous Delivery make this possible, but to do it right you will need a safety net.

Leaders are 2.5x more likely to exceed profitability, market share and productivity goals through DevOps. You know you need to adopt a continuous and collaborative IT delivery model to meet the ever-increasing market demands for more features faster and remain competitive.

As the application economy drives companies to roll out applications more quickly, companies are seeing testing in a new light. Once considered a speed bump on the DevOps fast track, new tools and testing methodologies are emerging to bring testing up to speed.
In this ebook, we’ll explore some of the challenges on the road to continuous testing, along with new approaches that will help you adopt next-gen testing practices that offer the ability to test early, often and automatically.

Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed.
Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.

With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers.
Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.

To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.
In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
Recorded Feb 5 2018 49 mins
Presented by
Steve Feloney, VP Product Management CA Technologies

If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).

Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how:
Join us for this webcast to learn:
- How Test Data Manager finds, builds, protects and delivers test data fast!
- How to get your testing teams moving towards self sufficiency with test data
Get your questions answered. Come away happy!
Recorded Aug 20 2018 60 mins
Presented by
Prashant Pandey, CA Technologies

The ‘80s Called… … And they don’t want their enterprise Project and Portfolio Management (PPM) tools back.
If your Project Management Office (PMO) is still relying on the same or similar processes and systems used when neon and mullets were trending, it will never keep pace with today’s market demands or shifts in technology. Six-month deployment schedules and command and control models of yesteryear are actively being replaced with continuous delivery methods and practices like agile and lean—all in the interest of driving greater customer engagement.

Gartner’s Continuous Delivery Automation Magic Quadrant (MQ) analyzes the current market solutions and their effectiveness in responding to the demands of the modern business. The MQ is created on a tool’s ‘ability to execute’ and its ‘completeness of vision.’
When assessing CA Continuous Delivery Automation, Gartner highlights its ability to ‘provide scalability, resilience, security and enterprise management connectivity.’ The analysis also goes much deeper to cover the strengths, weaknesses and various nuances of all the automation products on the market.

In the 26-criteria evaluation of continuous delivery and release automation (CDRA) providers, we identified the 15 most significant — Atlassian, CA technologies, Chef Software, Clarive, CloudBees, electric Cloud, Flexagon, Hewlett packard enterprise (Hpe), IBM, Micro Focus, Microsoft, puppet, Red Hat, VMware, and Xebialabs — and researched, analyzed, and scored them. We focused on core features, including modeling, deploying, managing, governing, and visualizing pipelines, and on each vendor’s ability to match a strategy to these features. this report helps infrastructure and operations (I&o) professionals make the right choice when looking for CDRA solutions for their development and operations (Devops) automation.

Do you want to bring continuous delivery to your organization? Or would you simply like to begin your automation Journey?
CA Technologies Automation Solutions (formerly Automic) proposes a fourstage blueprint to continuous delivery to assist enterprises at any stage of their DevOps journey.
This e-book sets out a plan that can take a company of any maturity level all the way up to enterprise-scale continuous delivery using a combination of CA Continuous Delivery Automation, 40-plus years of business automation experience, and the proven tools and practices the company is already leveraging.

Application release automation (ARA) tools enable best practices in deploying and promoting applicationrelated artifacts, properties, configurations and even data across an application lifecycle in a safe, predictable and repeatable manner. Gartner reports that using an ARA tool is key to enabling DevOps and achieving continuous delivery.
Wikipedia also defines five dimensions of scalability that can apply to ARA tools:
• Administrative scalability
• Functional scalability
• Geographic scalability
• Load scalability
• Generational scalability
This white paper will explain how each of these criteria is relevant when choosing an ARA product that is capable of scaling along with the growth of your enterprise.

To stand out in the application economy, businesses must add digital dimensions to the experiences they provide for customers, employees and partners. Such a “digital transformation” requires new thinking around IT—specifically, its capabilities and goals, and how the various teams must collaborate to deliver on business objectives. For many organizations, the best way to navigate the digital transformation is with DevOps.
In this ebook, you’ll learn more about the challenges digital transformation has created and how DevOps best practices, such as Agile Parallel Development, Continuous Delivery and Agile Operations, can be used to capitalize on opportunities and create competitive differentiation in the application economy.

To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions.
This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.

Freeform Dynamics Executive Briefing Guide - Orchestrating the DevOps Tool Chain: An enterprise-level approach to continuous delivery.
Dale Vile says that business stakeholders are increasingly looking for faster and more frequent delivery of high-impact, high-quality output from IT teams. DevOps is an approach designed to enable the rapid and continuous delivery of value to the business to support the needs of the digital world, he adds. Open source software tools can help organizations adopt this DevOps approach but can cause efficiency, complexity and scalability issues, so Dale believes it is helpful to create a consistent orchestration layer using an enterprise class release automation solution.

Automating for Digital Transformation: Tools-driven DevOps and Continuous Software Delivery in the Enterprise.
Learn why companies are adopting DevOps to speed software delivery and innovation
Understand why “speed with quality” is the real challenge of Continuous Delivery and the importance of automation
Explore DevOps best practices and automation tools in place at high performing companies

Microservices architecture is a new architectural style for creating loosely coupled but autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service (PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations create and manage these modular systems on an unprecedented scale that exceeds earlier approaches like service-oriented architecture (SOA). But organizations that refactor monolithic applications into microservices experience widely varying degrees of success. The key to using microservices effectively is a solid understanding of how and why organizations should use microservices to build applications

To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions.
This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.

In this eBook, we will:
-Tell you how to get started with performance metric monitoring
-Share real-life examples of application failures and how to avoid them by using 7 key metrics to find problems early on
-Show you how stuff really works in "the life of a metric" and how to integrate performance metrics into automation tools throughout your application delivery chain
Get the right processes and metrics in place to support continuous delivery and build a better digital experience, faster.

The digital transformation (DX) of industries is well under way — a transformation that is enabled by the Internet of Things (IoT). The IoT allows organizations to reinvent existing industry processes, augment how they engage with their customers, and accelerate the speed at which they deliver their products and services. This white paper looks at how these digital strategies facilitated by the IoT are reshaping those industry segments that are both asset rich and focused on services rather than products. The paper then explores IoT scenarios that hold great promise and how companies are approaching investment to optimize business outcomes.